Preventive behaviors by the level of perceived infection sensitivity during the Korea outbreak of Middle East Respiratory Syndrome in 2015.
Identifieur interne : 000E13 ( PubMed/Curation ); précédent : 000E12; suivant : 000E14Preventive behaviors by the level of perceived infection sensitivity during the Korea outbreak of Middle East Respiratory Syndrome in 2015.
Auteurs : Soon Young Lee [Corée du Sud] ; Hee Jeong Yang [Corée du Sud] ; Gawon Kim [Corée du Sud] ; Hae-Kwan Cheong [Corée du Sud] ; Bo Youl Choi [Corée du Sud]Source :
- Epidemiology and health [ 2092-7193 ] ; 2016.
Descripteurs français
- KwdFr :
- Adulte, Adulte d'âge moyen, Analyse de regroupements, Comportement en matière de santé, Connaissances, attitudes et pratiques en santé, Coronavirus du syndrome respiratoire du Moyen-Orient (isolement et purification), Femelle, Flambées de maladies (), Humains, Infections à coronavirus (), Infections à coronavirus (psychologie), Infections à coronavirus (épidémiologie), Jeune adulte, Mâle, Population d'origine asiatique (psychologie), République de Corée (épidémiologie), Sujet âgé.
- MESH :
- isolement et purification : Coronavirus du syndrome respiratoire du Moyen-Orient.
- psychologie : Infections à coronavirus, Population d'origine asiatique.
- épidémiologie : Infections à coronavirus, République de Corée.
- Adulte, Adulte d'âge moyen, Analyse de regroupements, Comportement en matière de santé, Connaissances, attitudes et pratiques en santé, Femelle, Flambées de maladies, Humains, Infections à coronavirus, Jeune adulte, Mâle, Sujet âgé.
English descriptors
- KwdEn :
- Adult, Aged, Asian Continental Ancestry Group (psychology), Cluster Analysis, Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Coronavirus Infections (psychology), Disease Outbreaks (prevention & control), Disease Outbreaks (statistics & numerical data), Female, Health Behavior, Health Knowledge, Attitudes, Practice, Humans, Male, Middle Aged, Middle East Respiratory Syndrome Coronavirus (isolation & purification), Republic of Korea (epidemiology), Young Adult.
- MESH :
- epidemiology : Coronavirus Infections, Republic of Korea.
- isolation & purification : Middle East Respiratory Syndrome Coronavirus.
- prevention & control : Coronavirus Infections, Disease Outbreaks.
- psychology : Asian Continental Ancestry Group, Coronavirus Infections.
- statistics & numerical data : Disease Outbreaks.
- Adult, Aged, Cluster Analysis, Female, Health Behavior, Health Knowledge, Attitudes, Practice, Humans, Male, Middle Aged, Young Adult.
Abstract
This study was performed to investigate the relationship between community residents' infection sensitivity and their levels of preventive behaviors during the 2015 Middle East Respiratory Syndrome (MERS) outbreak in Korea.
DOI: 10.4178/epih.e2016051
PubMed: 28092927
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Korea.</nlm:affiliation><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon</wicri:regionArea></affiliation></author><author><name sortKey="Kim, Gawon" sort="Kim, Gawon" uniqKey="Kim G" first="Gawon" last="Kim">Gawon Kim</name><affiliation wicri:level="1"><nlm:affiliation>Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea.</nlm:affiliation><country xml:lang="fr">Corée du Sud</country><wicri:regionArea>Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon</wicri:regionArea></affiliation></author><author><name sortKey="Cheong, Hae Kwan" sort="Cheong, Hae Kwan" uniqKey="Cheong H" first="Hae-Kwan" last="Cheong">Hae-Kwan Cheong</name><affiliation wicri:level="1"><nlm:affiliation>Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, 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Practice</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse de regroupements</term><term>Comportement en matière de santé</term><term>Connaissances, attitudes et pratiques en santé</term><term>Femelle</term><term>Flambées de maladies</term><term>Humains</term><term>Infections à coronavirus</term><term>Jeune adulte</term><term>Mâle</term><term>Sujet âgé</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This study was performed to investigate the relationship between community residents' infection sensitivity and their levels of preventive behaviors during the 2015 Middle East Respiratory Syndrome (MERS) outbreak in Korea.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28092927</PMID><DateCompleted><Year>2017</Year><Month>02</Month><Day>24</Day></DateCompleted><DateRevised><Year>2019</Year><Month>10</Month><Day>16</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">2092-7193</ISSN><JournalIssue CitedMedium="Internet"><Volume>38</Volume><PubDate><Year>2016</Year></PubDate></JournalIssue><Title>Epidemiology and health</Title><ISOAbbreviation>Epidemiol Health</ISOAbbreviation></Journal><ArticleTitle>Preventive behaviors by the level of perceived infection sensitivity during the Korea outbreak of Middle East Respiratory Syndrome in 2015.</ArticleTitle><Pagination><MedlinePgn>e2016051</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.4178/epih.e2016051</ELocationID><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">This study was performed to investigate the relationship between community residents' infection sensitivity and their levels of preventive behaviors during the 2015 Middle East Respiratory Syndrome (MERS) outbreak in Korea.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">Seven thousands two hundreds eighty one participants from nine areas in Gyeonggi-do including Pyeongtaek, the origin of the outbreak in 2015 agreed to participate in the survey and the data from 6,739 participants were included in the final analysis. The data on the perceived infection sensitivity were subjected to cluster analysis. The levels of stress, reliability/practice of preventive behaviors, hand washing practice and policy credibility during the outbreak period were analyzed for each cluster.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Cluster analysis of infection sensitivity due to the MERS outbreak resulted in classification of participants into four groups: the non-sensitive group (14.5%), social concern group (17.4%), neutral group (29.1%), and overall sensitive group (39.0%). A logistic regression analysis found that the overall sensitive group with high sensitivity had higher stress levels (17.80; 95% confidence interval [CI], 13.77 to 23.00), higher reliability on preventive behaviors (5.81; 95% CI, 4.84 to 6.98), higher practice of preventive behaviors (4.53; 95% CI, 3.83 to 5.37) and higher practice of hand washing (2.71; 95% CI, 2.13 to 3.43) during the outbreak period, compared to the non-sensitive group.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Infection sensitivity of community residents during the MERS outbreak correlated with gender, age, occupation, and health behaviors. When there is an outbreak in the community, there is need to maintain a certain level of sensitivity while reducing excessive stress, as well as promote the practice of preventive behaviors among local residents. In particular, target groups need to be notified and policies need to be established with a consideration of the socio-demographic characteristics of the community.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Lee</LastName><ForeName>Soon Young</ForeName><Initials>SY</Initials><AffiliationInfo><Affiliation>Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Hee Jeong</ForeName><Initials>HJ</Initials><AffiliationInfo><Affiliation>Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kim</LastName><ForeName>Gawon</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Department of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cheong</LastName><ForeName>Hae-Kwan</ForeName><Initials>HK</Initials><AffiliationInfo><Affiliation>Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Suwon, Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Choi</LastName><ForeName>Bo Youl</ForeName><Initials>BY</Initials><AffiliationInfo><Affiliation>Department of Preventive Medicine, Hanyang University College of Medicine, Seoul, Korea.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2016</Year><Month>11</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>Korea (South)</Country><MedlineTA>Epidemiol Health</MedlineTA><NlmUniqueID>101519472</NlmUniqueID><ISSNLinking>2092-7193</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D044466" MajorTopicYN="N">Asian Continental Ancestry Group</DescriptorName><QualifierName UI="Q000523" MajorTopicYN="Y">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016000" MajorTopicYN="N">Cluster Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015438" MajorTopicYN="Y">Health Behavior</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007722" MajorTopicYN="N">Health Knowledge, Attitudes, Practice</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065207" MajorTopicYN="N">Middle East Respiratory Syndrome Coronavirus</DescriptorName><QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D056910" MajorTopicYN="N">Republic of Korea</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Cluster analysis</Keyword><Keyword MajorTopicYN="Y">Epidemics</Keyword><Keyword MajorTopicYN="Y">Middle East Respiratory Syndrome coronavirus</Keyword><Keyword MajorTopicYN="Y">Risk reduction behavior</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>10</Month><Day>27</Day></PubMedPubDate><PubMedPubDate 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